Sajjad Gharaghani
- Molecular Biology
- Computational Theory and Mathematics top 1%
- Organic Chemistry top 5%
- Oncology top 10%
- Artificial Intelligence top 5%
- Co-authors
- Razieh SheikhpourMohammad Ali Zare ChahookiMehdi Agha SarramM. FatemiTaghi KhayamianAli BenvidiSaleheh AbbasiMehdi Sahihi
- Topics
- Computational Drug Discovery Methods (40 papers)Machine Learning in Bioinformatics (9 papers)Protein Structure and Dynamics (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- IranHungaryUnited States
In The Last Decade
Sajjad Gharaghani
78 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Molecular Biology 663
- Computational Theory and Mathematics 447
- Organic Chemistry 397
- Oncology 331
- Artificial Intelligence 288
Countries citing papers authored by Sajjad Gharaghani
This map shows the geographic impact of Sajjad Gharaghani's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sajjad Gharaghani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sajjad Gharaghani more than expected).
Fields of papers citing papers by Sajjad Gharaghani
This network shows the impact of papers produced by Sajjad Gharaghani. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sajjad Gharaghani. The network helps show where Sajjad Gharaghani may publish in the future.
Co-authorship network of co-authors of Sajjad Gharaghani
This figure shows the co-authorship network connecting the top 25 collaborators of Sajjad Gharaghani. A scholar is included among the top collaborators of Sajjad Gharaghani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sajjad Gharaghani. Sajjad Gharaghani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 58 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 14 | |
| 9 | 3 | |
| 10 | 8 | |
| 11 | 7 | |
| 12 | 14 | |
| 13 | 42 | |
| 14 | 11 | |
| 15 | 5 | |
| 16 | 14 | |
| 17 | 69 | |
| 18 | 33 | |
| 19 | 34 | |
| 20 | 7 |
About Sajjad Gharaghani
Sajjad Gharaghani is a scholar working on Computational Theory and Mathematics, Computational Mathematics and Filtration and Separation, having authored 82 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (40 papers), Machine Learning in Bioinformatics (9 papers) and Protein Structure and Dynamics (9 papers). The work is most often cited by research in Computational Theory and Mathematics (447 citations), Organic Chemistry (397 citations) and Oncology (331 citations). Sajjad Gharaghani has collaborated with scholars based in Iran, Hungary and United States. Frequent co-authors include Razieh Sheikhpour, Mohammad Ali Zare Chahooki, Mehdi Agha Sarram, M. Fatemi, Taghi Khayamian, Ali Benvidi, Saleheh Abbasi, Mehdi Sahihi, Hadi Amiri Rudbari and Karim Abbasi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.